Best use case
perf is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Performance analysis, profiling, and optimization
Teams using perf should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/perf/SKILL.md --create-dirs "https://raw.githubusercontent.com/hivellm/rulebook/main/.claude/skills/perf/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/perf/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How perf Compares
| Feature / Agent | perf | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Performance analysis, profiling, and optimization
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
Analyze performance for: $ARGUMENTS If no arguments, do a general performance review of the project. Steps: 1. Identify the performance bottleneck or area of concern 2. Profile the code (check for N+1 queries, unnecessary allocations, blocking I/O) 3. Benchmark the current performance baseline 4. Propose optimizations with expected impact 5. Implement the optimization and measure improvement
Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.